Book Image

The Clojure Workshop

By : Joseph Fahey, Thomas Haratyk, Scott McCaughie, Yehonathan Sharvit, Konrad Szydlo
Book Image

The Clojure Workshop

By: Joseph Fahey, Thomas Haratyk, Scott McCaughie, Yehonathan Sharvit, Konrad Szydlo

Overview of this book

The Clojure Workshop is a step-by-step guide to Clojure and ClojureScript, designed to quickly get you up and running as a confident, knowledgeable developer. Because of the functional nature of the language, Clojure programming is quite different to what many developers will have experienced. As hosted languages, Clojure and ClojureScript can also be daunting for newcomers because of complexities in the tooling and the challenge of interacting with the host platforms. To help you overcome these barriers, this book adopts a practical approach. Every chapter is centered around building something. As you progress through the book, you will progressively develop the 'muscle memory' that will make you a productive Clojure programmer, and help you see the world through the concepts of functional programming. You will also gain familiarity with common idioms and patterns, as well as exposure to some of the most widely used libraries. Unlike many Clojure books, this Workshop will include significant coverage of both Clojure and ClojureScript. This makes it useful no matter your goal or preferred platform, and provides a fresh perspective on the hosted nature of the language. By the end of this book, you'll have the knowledge, skills and confidence to creatively tackle your own ambitious projects with Clojure and ClojureScript.
Table of Contents (17 chapters)
Free Chapter
2
2. Data Types and Immutability

Importing a Dataset from a CSV File

Now that we've seen some basic patterns for manipulating data, it's time to be more ambitious! We are going to start using a dataset that we will use in many of the following chapters as we build up our Clojure knowledge: ATP World Tour tennis data, a CSV file that includes, among other things, information about professional tennis matches going back to 1871. Besides learning about new concepts and techniques, we will see that Clojure can be an interesting choice for exploring and manipulating large datasets. And, naturally, most of the datasets that are available to us are CSV files.

Note

This dataset was created and is maintained at https://packt.live/2Fq30kk, and is available under the Creative Commons 4.0 International License. The files that we'll be using here are also available at https://packt.live/37DCkZn.

In the rest of this chapter, we will import tennis match data from a CSV file and use our mapping and filtering...